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    <title>topic How to best estimate  missing correlation values in a correlation matrix? in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-to-best-estimate-missing-correlation-values-in-a-correlation/m-p/44196#M11657</link>
    <description>Good morning,&lt;BR /&gt;
I have a scenario where i have been given a correlation matrix and in it i have many of the missing data. I would like to seek all of your help to please help me to figure out how could i do my best estimate in predicting those missing values in my correlation matrix.&lt;BR /&gt;
I also would like to add that the correlation matrix contains non normalized data.&lt;BR /&gt;
I have read SAS publication and i saw it offers an multiple imputation method for dealing with missing data. My question is :&lt;BR /&gt;
1) Is IM dealing with only normalized data, but in my case, the matrix contains non normalized data.&lt;BR /&gt;
2) Is IM only dealing with missing data, but in my case, I don't have a simple case of missing data, I have missing correlation coefficient in a correlation matrix. So could i use IM?&lt;BR /&gt;
&lt;BR /&gt;
Thanks alot for all of your help,&lt;BR /&gt;
Minh</description>
    <pubDate>Fri, 05 Sep 2008 13:04:43 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2008-09-05T13:04:43Z</dc:date>
    <item>
      <title>How to best estimate  missing correlation values in a correlation matrix?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-best-estimate-missing-correlation-values-in-a-correlation/m-p/44196#M11657</link>
      <description>Good morning,&lt;BR /&gt;
I have a scenario where i have been given a correlation matrix and in it i have many of the missing data. I would like to seek all of your help to please help me to figure out how could i do my best estimate in predicting those missing values in my correlation matrix.&lt;BR /&gt;
I also would like to add that the correlation matrix contains non normalized data.&lt;BR /&gt;
I have read SAS publication and i saw it offers an multiple imputation method for dealing with missing data. My question is :&lt;BR /&gt;
1) Is IM dealing with only normalized data, but in my case, the matrix contains non normalized data.&lt;BR /&gt;
2) Is IM only dealing with missing data, but in my case, I don't have a simple case of missing data, I have missing correlation coefficient in a correlation matrix. So could i use IM?&lt;BR /&gt;
&lt;BR /&gt;
Thanks alot for all of your help,&lt;BR /&gt;
Minh</description>
      <pubDate>Fri, 05 Sep 2008 13:04:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-best-estimate-missing-correlation-values-in-a-correlation/m-p/44196#M11657</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2008-09-05T13:04:43Z</dc:date>
    </item>
    <item>
      <title>Re: How to best estimate  missing correlation values in a correlation matrix?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-best-estimate-missing-correlation-values-in-a-correlation/m-p/44197#M11658</link>
      <description>You have a missing value in a correlation matrix. This happens because there is no data for that pair of variables. Which definitely leaves you with a very serious problem -- how do you estimate the correlation when you have no data?&lt;BR /&gt;
&lt;BR /&gt;
Let me ask you this ... how would you estimate the mean of a variable if you had no data to go on? Same answer applies to correlation.

Message was edited by: Paige</description>
      <pubDate>Mon, 08 Sep 2008 16:05:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-best-estimate-missing-correlation-values-in-a-correlation/m-p/44197#M11658</guid>
      <dc:creator>Paige</dc:creator>
      <dc:date>2008-09-08T16:05:54Z</dc:date>
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